About

I am an Assistant Professor of Medicine in the Division of Infectious Diseases at the Johns Hopkins University School of Medicine, specializing in computational genetics, molecular epidemiology, and the application of artificial intelligence to infectious diseases. My research integrates geometric deep learning, viral phylogenetics, and network science (both social and spatial) to elucidate infectious disease transmission dynamics and optimize intervention strategies.

Current Research

I currently lead research focused on graph-based deep learning models to enhance our understanding of viral transmission patterns and improve the efficacy of targeted interventions. Additionally, my lab develops novel bioinformatic tools and pangenome graph methodologies to characterize the human plasma virome and investigate its role in disease processes. Our group is also actively engaged in creating AI-driven platforms that leverage large language models (LLMs) and transformer-based time-series forecasting systems. These platforms support medical education and clinical decision-making, accurate drug demand forecasting, and optimized public health response planning.